# Copyright (c) Alibaba, Inc. and its affiliates.
from swift.llm import (
    InferRequest,
    Model,
    ModelGroup,
    ModelMeta,
    PtEngine,
    RequestConfig,
    TemplateMeta,
    get_model_tokenizer_with_flash_attn,
    register_model,
    register_template,
)

register_template(
    TemplateMeta(
        template_type="custom",
        prefix=["<extra_id_0>System\n{{SYSTEM}}\n"],
        prompt=["<extra_id_1>User\n{{QUERY}}\n<extra_id_1>Assistant\n"],
        chat_sep=["\n"],
    )
)

register_model(
    ModelMeta(
        model_type="custom",
        model_groups=[
            ModelGroup(
                [
                    Model(
                        "AI-ModelScope/Nemotron-Mini-4B-Instruct",
                        "nvidia/Nemotron-Mini-4B-Instruct",
                    )
                ]
            )
        ],
        template="custom",
        get_function=get_model_tokenizer_with_flash_attn,
        ignore_patterns=["nemo"],
        is_multimodal=False,
    )
)

if __name__ == "__main__":
    infer_request = InferRequest(messages=[{"role": "user", "content": "who are you?"}])
    request_config = RequestConfig(max_tokens=512, temperature=0)
    engine = PtEngine("AI-ModelScope/Nemotron-Mini-4B-Instruct")
    response = engine.infer([infer_request], request_config)
    swift_response = response[0].choices[0].message.content

    engine.default_template.template_backend = "jinja"
    response = engine.infer([infer_request], request_config)
    jinja_response = response[0].choices[0].message.content
    assert (
        swift_response == jinja_response
    ), f"swift_response: {swift_response}\njinja_response: {jinja_response}"
    print(f"response: {swift_response}")
